Platform Engineer / Operations Engineer - (ML / AI)
Core
Building scalable ML infrastructure and LLM platforms to process aerial imagery and serve AI models for property intelligence products.
Role type
Senior MLOps Engineer (Platform)
Builds
Large-scale batch inference, real-time model serving, GPU-accelerated distributed training, and LLM platforms.
Domain
Geospatial / Aerial Imagery / Property Intelligence
Deliverable
production ML models | infrastructure
Required skills
Kubernetes (EKS/GKE) at scale, high-concurrency API development, production Python, CI/CD, infrastructure-as-code, ML observability, GPU/CPU cost optimization
Preferred skills
Ray Serve, LLM/generative AI platform work, Terraform, ML tooling vendors (AWS, GCP, W&B, Arize AI)
Technologies
Kubernetes, EKS, GKE, Ray Serve, Docker, ArgoCD, W&B, Arize AI, Prometheus, Grafana, Terraform, Python, AWS, GCP
Responsibilities
Design and build scalable ML infrastructure; build and govern the LLM platform; own developer experience for AI teams; drive reliability and observability; contribute to shared platform libraries; engage with ML tooling vendors.
Seniority
Senior, hands-on IC with tech lead responsibilities